scholarly journals Voltage Stability Analysis of an Interconnected Power System Considering Varied Output of Wind Power Plants

2021 ◽  
Vol 56 (3) ◽  
pp. 111-123
Author(s):  
Muhammad Bachtiar Nappu ◽  
Ardiaty Arief ◽  
Ainun Maulidah

A sound power system must have voltage values at all buses that do not exceed the tolerance limit of ± 5% with small power losses. Voltage instability can be caused by interference or sudden power generation outage from the system. Indonesia's Southern Sulawesi power system has been interconnected with wind power plants located in Sidrap Regency and Jeneponto Regency. Wind speed energy used by wind power plants to generate electricity vary and not always constant. Hence, this can cause fluctuations and produce varied outputs that will affect the voltage profile and stability of the Southern Sulawesi interconnection system. Therefore, it is essential to assess the voltage stability of the Southern Sulawesi power system after the integration of Sidrap and Jeneponto WPPs. First, this study analyzes the voltage profile of the Southern Sulawesi interconnection system voltage after integrating the Sidrap wind power plants and Jeneponto Wind Power Plant during the peak day load and peak night load. Second, the study assesses the voltage stability with a varied output power of both Sidrap and Jeneponto Wind Power Plant. After integrating Sidrap and Jeneponto Wind Power Plants, the results showed that the voltage values at all system buses are stable and within the IEEE standard (between 0.95 p.u. and 1.05 p.u.). In addition, the voltages of the Southern Sulawesi power system with various outputs of both WPPs are still stable and within the IEEE standard.

Author(s):  
Yih-Huei Wan ◽  
Michael Milligan ◽  
Brian Parsons

The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power output data from large commercial wind power plants. Outputs from about 330 MW of wind generating capacity from wind power plants in Buffalo Ridge, Minnesota, and Storm Lake, Iowa, are being recorded. Analysis of the collected data shows that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitudes and rates of changes in the levels of wind power. Analyses of power data confirm that spatial separation greatly reduces variations in the combined wind power output relative to output from a single wind power plant. Data show that high frequency variations of wind power from two wind power plants 200 km apart are independent of each other, but low frequency power changes can be highly correlated. This fact suggests that time-synchronized power data and meteorological data can aid in the development of statistical models for wind power forecasting.


2014 ◽  
Vol 543-547 ◽  
pp. 503-508
Author(s):  
Xin Ying Wang

IEC 61400-25 is a series of international standards on communication of wind power plants. The service defined by information exchange models in wind power plants communicates through being mapped to web service. Web service is described by WSDL, but with the limitation of WSDL itself, web service can not realize the semantic description, the automatic discovery and composition of service. So semantic web service is introduced, the service is described by OWL-S to realize the interconnection of wind power plant hardware devices from different manufacturers, to facilitate the sharing and reuse of devices function and to realize the sharing of wind power plant knowledge in semantic level.


Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1828 ◽  
Author(s):  
Izabela Piasecka ◽  
Patrycja Bałdowska-Witos ◽  
Józef Flizikowski ◽  
Katarzyna Piotrowska ◽  
Andrzej Tomporowski

Controlling the system—the environment of power plants is called such a transformation—their material, energy and information inputs in time, which will ensure that the purpose of the operation of this system or the state of the environment, is achieved. The transformations of systems and environmental inputs and their goals describe the different models, e.g., LCA model groups and methods. When converting wind kinetic energy into electricity, wind power plants emit literally no harmful substances into the environment. However, the production and postuse management stages of their components require large amounts of energy and materials. The biggest controlling problem during postuse management is wind power plant blades, followed by waste generated during their production. Therefore, this publication is aimed at carrying out an ecological, technical and energetical transformation analysis of selected postproduction waste of wind power plant blades based on the LCA models and methods. The research object of control was eight different types of postproduction waste (fiberglass mat, roving fabric, resin discs, distribution hoses, spiral hoses with resin, vacuum bag film, infusion materials residues, surplus mater), mainly made of polymer materials, making it difficult for postuse management and dangerous for the environment. Three groups of models and methods were used: Eco-indicator 99, IPCC and CED. The impact of analysis objects on human health, ecosystem quality and resources was controlled and assessed. Of all the tested waste, the life cycle of resin discs made of epoxy resin was characterized by the highest level of harmful technology impact on the environment and the highest energy consumption. Postuse control and management in the form of recycling would reduce the negative impact on the environment of the tested waste (in the perspective of their entire life cycle). Based on the results obtained, guidelines and models for the proecological postuse control of postproduction polymer waste of wind power plants blades were proposed.


2019 ◽  
Vol 9 (21) ◽  
pp. 4695 ◽  
Author(s):  
Esmaeil Ebrahimzadeh ◽  
Frede Blaabjerg ◽  
Torsten Lund ◽  
John Godsk Nielsen ◽  
Philip Carne Kjær

It is important to develop modelling tools to predict unstable situations resulting from the interactions between the wind power plant and the weak power system. This paper presents a unified methodology to model and analyse a wind power plant connected to weak grids in the frequency-domain by considering the dynamics of the phase lock loop (PLL) and controller delays, which have been neglected in most of the previous research into modelling of wind power plants to simplify modelling. The presented approach combines both dq and positive/negative sequence domain modelling, where a single wind turbine is modelled in the dq domain but the whole wind power plant connected to the weak grid is analysed in the positive/negative sequence domain. As the proposed modelling of the wind power plant is systematic and modular and based on the decoupled positive/negative sequence impedances, the application of the proposed methodology is relevant for transmission system operators (TSOs) to assess stability easily with a very low compactional burden. In addition, as the analytical dq impedance models of the single wind turbine are provided, the proposed methodology is an optimization design tool permitting wind turbine manufacturers to tune their converter control. As a case study, a 108 MW wind power plant connected to a weak grid was used to study its sensitivity to variations in network short-circuit level, X/R ratio and line series capacitor compensation (Xc/Xg).


2003 ◽  
Vol 125 (4) ◽  
pp. 551-555 ◽  
Author(s):  
Yih-huei Wan ◽  
Michael Milligan ◽  
Brian Parsons

The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power data from large commercial wind power plants in the Midwestern United States. Outputs from about 330 MW of installed wind generating capacity from wind power plants in Lake Benton, MN, and Storm Lake, Iowa, are being recorded. Analysis of the collected data shows that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitude of fluctuations and rate of change in wind power production. Analyses of power data confirms that spatial separation of turbines greatly reduces variations in their combined wind power output when compared to the output of a single wind power plant. Data show that high-frequency variations of wind power from two wind power plants 200 km apart are independent of each other, but low-frequency power changes can be highly correlated. This fact suggests that time-synchronized power data and meteorological data can aid in the development of statistical models for wind power forecasting.


2021 ◽  
Vol 1 (1) ◽  
pp. 32-44
Author(s):  
Sagar Dharel ◽  
Rabindra Maharjan

Government of Nepal has realized that wind energy could become a major source of alternative energy to solve energy crisis in the country as well as serve the purpose of energy mix. Various studies have identified several locations with potential for wind power generation in Nepal. The integration of wind power plant to the national grid, however, raises concerns regarding the power system stability. The voltage stability of the grid is a key issue, the effect on which increases with the increase in wind power penetration in the grid. This study performs voltage stability analysis due to high penetration of wind power in Integrated Nepalese Power System (INPS). Both steady state and dynamic stability study is performed using the power system simulation software DigSILENT/PowerFactory for different types of wind turbine generators.


2019 ◽  
Vol 9 (2) ◽  
pp. 231 ◽  
Author(s):  
Izabela Piasecka ◽  
Andrzej Tomporowski ◽  
Józef Flizikowski ◽  
Weronika Kruszelnicka ◽  
Robert Kasner ◽  
...  

This study deals with the problems connected with the benefits and costs of an offshore wind power plant in terms of ecology. Development prospects of offshore and land-based wind energy production are described. Selected aspects involved in the design, construction, and operation of offshore wind power plant construction and operation are presented. The aim of this study was to analyze and compare the environmental impact of offshore and land-based wind power plants. Life cycle assessment analysis of 2-MW offshore and land wind power plants was made with the use of Eco-indicator 99 modeling. The results were compared in four areas of impact in order to obtain values of indexes for nonergonomic (impact on/by operator), nonfunctional (of/on the product), nonecological (on/by living objects), and nonsozological impacts (on/by manmade objects), reflecting the extent of threat to human health, the environment, and natural resources. The processes involved in extraction of fossil fuels were found to produce harmful emissions which in turn lead to respiratory system diseases being, thus, extremely dangerous for the natural environment. For all the studied areas, the impact on the environment was found to be higher for land-based wind power plants than for an offshore wind farm.


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